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学术论文
  1. Jie Feng*, Di Li, Jing Gu, Xianghai Cao, Ronghua Shang, Xiangrong Zhang, Licheng Jiao, Deep reinforcement learning for semi-supervised hyperspectral band selection, IEEE Transactions on Geoscience and Remote Sensing, 2020, Accepted.
  2. Jie Feng*, Jiantong Chen, Qigong Sun, Ronghua Shang, Xianghai Cao, Xiangrong Zhang, Licheng Jiao, Convolution neutral network based on band-wise independent convolution and hard thresholding for hyperspectral band selection[J]. IEEE Transactions on Cybernetics, 2020, doi: 10.1109/TCYB.2020.3000725. (中科院一区,影响因子:11.079)[pdf] [code]
  3. Jie Feng*, Xiande Wu, Ronghua Shang, Chenhong Sui, Jie Li, Licheng Jiao, Xiangrong Zhang. Attention multi-branch convolutional neural network for hyperspectral image classification based on adaptive region search[J]. IEEE Transactions on Geoscience and Remote Sensing, 2020, doi: 10.1109/TGRS.2020.3011943. (中科院一区,影响因子:5.855)
  4. Jie Feng*, Xueliang Feng, Jiantong Chen, Xianghai Cao, Xiangrong Zhang, Licheng Jiao, Tao Yu, Generative adversarial networks based on collaborative learning and attention mechanism for hyperspectral image classification[J]. Remote Sensing, 2020, 12(1149): 1:26. (中科院二区: 00537709600099,影响因子:4.509) [pdf] [code]
  5. Jing Zhao, Zixuan Ba, Xianghai Cao, Jie Feng, Licheng Jiao. Deep Mutual-teaching for Hyperspectral Imagery Classification [J]. IEEE Geoscience and Remote Sensing Letters. 2020, Accepted.
  6. Jie Feng*, Yuping Liang, Dening Zeng, Zhanwei Ye, Xiande Wu, Xiangrong Zhang, Xu Tang. Small object detection in optical remote sensing video with motion guided R-CNN [C]. IGARSS, 2020.
  7. Jie Feng*, Zhanwei Ye, Di Li, Yuping Liang, Xu Tang, Xiangrong Zhang. Hyperspectral image classification based on semi-supervised dual-branch convolutional autoencoder with self-attention [C]. IGARSS, 2020.
  8. Jie Feng*, Haipeng Yu, Lin Wang, Xianghai Cao, Xiangrong Zhang, Licheng Jiao. Classification of hyperspectral images based on multiclass spatial-spectral generative adversarial networks[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019. 8(57): 5329-5343. (中科院一区:000476805800009,影响因子:5.855) [pdf] [code]
  9. Jie Feng*, Jiantong Chen, Liguo Liu, Xianghai Cao, Xiangrong Zhang, Licheng Jiao, Tao Yu. CNN-based multil[ant]ayer spatial-spectral feature fusion and sample augmentation with local and nonlocal constraints for hyperspectral image classification[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019. 12(4): 1299-1313. (中科院二区:000464756600021,影响因子:3.827) [pdf] [code]
  10. Jie Feng*, Lin Wang, Haipeng Yu, Licheng Jiao, Xiangrong Zhang. Divide-and-conquer dual-architecture convolutional neural network for classification of hyperspectral images[J]. Remote Sensing, 2019, 11(484): 1:26. (中科院二区:000462544500012,影响因子:4.509) [pdf] 
  11. Chenhong Sui, Chang Li, Jie Feng, Xiaoguang Mei. Unsupervised manifold-preserving and weakly redundant band selection method for hyperspectral imagery [J]. IEEE Transactions on Geoscience and Remote Sensing. 2019, 58(2): 1156-1170. (中科院一区:000510710600032;影响因子:5.855)
  12. Xianghai Cao, Cuicui Wei, Yiming Ge, Jie Feng, Jing Zhao, Licheng Jiao. Semi-supervised hyperspectral band selection based on dynamic classifier selection[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019. 12(4), 1289-1298.(中科院二区:000464756600020,影响因子:3.827)
  13. Yiguo Qiao, Licheng Jiao, Shuyuan Yang, Biao Hou, Jie Feng. Color correction and depth-based hierarchical hole filling in free viewpoint generation [J]. IEEE Transactions on Broadcasting. 2019. (中科院二区:000470967400009,影响因子:3.419)
  14. Jie Feng*, Di Li, Jiantong Chen, Xiangrong Zhang, Xu Tang, Xiande Wu.Hyperspectral band selection based on ternary weight convolutional neural network [C]. IGARSS, 2019. (EI: 000519270603197)
  15. Jie Feng*, Xiande Wu, Jiantong Chen, Xiangrong Zhang, Xu Tang, Di Li. Joint Multil[ant]ayer spatial-spectral classification of hyperspectral images based on CNN and ConvLSTM [C]. IGARSS, 2019. (EI: 000519270600139)
  16. Jie Feng*, Liguo Liu, Xianghai Cao, Licheng Jiao, Tao Sun, Xiangrong Zhang. Marginal stacked autoencoder with adaptively-spatial regularization for hyperspectral image classification [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(9): 3297-3311.  (中科院二区:000444485100027,影响因子:3.827)
  17. Xiangrong Zhang, Chen Li, Jingyan Zhang, Qimeng Chen, Jie Feng*, Licheng Jiao and Huiyu Zhou. Hyperspectral Unmixing via Low-rank Representation with Space Consistency Constraint and Spectral Library Pruning [J].Remote Sensing, 2018, 10(2): 339-354.(中科院二区:000427542100183,影响因子:4.509)
  18. Xianghai Cao, Renjie Li, Li Wen, Jie Feng, Licheng Jiao. Deep multiple feature fusion for hyperspectral image classification [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2018, 11(10): 3880-3891. (中科院二区:000447950200042,影响因子:3.827)
  19. Jinliang An, Xiangrong Zhang, Huiyu Zhou, Jie Feng, Licheng Jiao. Patch Tensor-based sparse and low-rank graph for hyperspectral images dimensionality reduction[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(7): 2513-2527.(中科院二区:000440035600030,影响因子:3.827)
  20. Xiangrong Zhang, Chen Li, Jingyan Zhang, Qimeng Chen, Jie Feng, Licheng Jiao, Huiyu Zhou. Hyperspectral unmixing via low-rank representation with space consistency constraint and spectral library pruning[J]. Remote Sensing, 2018, 10(2): 339. (中科院二区:000427542100183,影响因子:4.509)
  21. Jie Feng*, Liguo Liu, Xiangrong Zhang, Rongfang Wang, Hongying Liu. Hyperspectral image classification based on stacked marginal discriminative autoencoder [C]. IGARSS, 2017. (EI: 000426954603189)
  22. Jie Feng*, Licheng Jiao, Fang Liu, Tao Sun, Xiangrong Zhang. Unsupervised feature selection based on maximum information and minimum redundancy for hyperspectral images [J]. Pattern Recognition. 2016, 51(1), 295-309.(中科院一区:000367633400022,影响因子:7.196)
  23. Jie Feng*, Licheng Jiao, Tao Sun, Hongying Liu, Xiangrong Zhang. Multiple kernel learning based on discriminative kernel clustering for hyperspectral band selection [J]. IEEE Transactions on Geoscience and Remote Sensing. 2016, 54(11): 6516-6530. (中科院一区:000385188200022,影响因子:5.855)
  24. 孙涛,冯婕. 快速随机多核学习分类算法 [J]. 西安电子科技大学学报(自然科学版). 2016, 43(1): 36-40.
  25. Ronghua Shang, Pingping Tian, Licheng Jiao, Rustam Stolkin, Jie Feng. A spatial fuzzy clustering algorithm with kernel metric based on immune clone for SAR image segmentation [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2016, 9(4): 1640-1652.(中科院二区:000375868800025,影响因子:3.827)
  26. Hongying Liu, Yikai Wang, Shuyuan Yang, Shuang Wang, Jie Feng, Licheng Jiao. Large Polarimetric SAR data semi-supervised classification with spatial-anchor graph [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2016, 9(4): 1439-1458.(中科院二区:000375868800010,影响因子:3.827)
  27. Hongying Liu, Qiang Min, Chen Sun, Jin Zhao, Shuyuan Yang, Biao Hou, Jie Feng, Licheng Jiao. Terrain classification with polarimetric based on deep sparse filtering network [C]. IGRASS, 2016. (EI: 20170103212994)
  28. Jie Feng*, Licheng Jiao, Fang Liu, Tao Sun, Xiangrong Zhang. Mutual-information-based semi-supervised hyperspectral band selection with high discrimination, high information, and low redundancy [J]. IEEE Transactions on Geoscience and Remote Sensing. 2015, 53(5): 2956-2969.(中科院一区:000351063100053,影响因子:5.855)
  29. Licheng Jiao, Jie Feng*, Fang Liu, Tao Sun, Xiangrong Zhang. Semi-supervised affinity propagation based on normalized trivariate mutual information for hyperspectral band selection [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2015, 8(6): 2760-2773. (中科院二区:000359264000039,影响因子:3.827).
  30. Tao Sun, Licheng Jiao, Jie Feng, Fang Liu. Imbalanced hyperspectral image classification based on maximum margin [J]. IEEE Geoscience and Remote Sensing Letters. 2015, 12(3): 522-526.(中科院二区:000344988800017,影响因子: 3.833)
  31. Jie Feng*, Licheng Jiao, Xiangrong Zhang, Tao Sun. Hyperspectral band selection based on trivariate mutual information and clonal selection [J]. IEEE Transactions on Geoscience and Remote Sensing. 2014, 52(7): 4092-4105. (中科院一区:000332597100031;影响因子:5.855)
  32. Miaoyun Zhao, Licheng Jiao, Jie Feng, Tianyu Liu. A simplified low rank and sparse graph for semi-supervised learning [J]. Neurocomputing. 2014, 140(22): 84-96.(中科院二区:000337775400009,影响因子:4.438)
  33. Jie Feng*, Licheng Jiao, Xiangrong Zhang, Maoguo Gong, Tao Sun. Robust non-local fuzzy c-means algorithm with edge preservation for SAR image segmentation [J]. Signal Processing. 2013, 93(2): 487-499.(中科院一区:000312174200012,影响因子:4.384)
  34. Tao Sun, Licheng Jiao, Fang Liu, Shuang Wang, Jie Feng*. Selective multiple kernel learning for classification with ensemble strategy [J]. Pattern Recognition. 2013, 46(11): 3081-3090.(中科院一区:000321232900017,影响因子:7.196)
  35. 张向荣,缑丽敏,李阳阳,冯婕,焦李成. 基于免疫克隆高斯过程隐变量模型的SAR目标特征提取与识别 [J]. 红外与毫米波学报. 2013, 32(3): 231-236.
  36. Xiangrong Zhang, Peng Weng, Jie Feng, Erlei Zhang, Biao Hou. Spatial-spectral classification based on group sparse coding for hyperspectral image [C]. IGRASS, 2013. (EI: 20140917388649)
  37. Xiangrong Zhang, Licheng Jiao, Sisi Zhou, Nan Zhou, Jie Feng. Adaptive multi-parameter spectral feature analysis for SAR target recognition [J]. Optical Engineering. 2012, 51(8). (中科院四区:000309913000062,影响因子:1.113)
  38. Xiangrong Zhang, Yaoguo Zheng, Jie Feng, Shuiping Gou. SAR image change detection based on low rank matrix decomposition [C]. IGRASS, 2012. (EI: 20130615991825)
  39. Jie Feng*, Licheng Jiao, Xiangrong Zhang, Dongdong Yang. Bag-of-visual-words based on clonal selection algorithm for SAR image classification [J]. IEEE Geoscience and Remote Sensing Letters. 2011, 8(4): 691-692. (中科院二区:000292105300022,影响因子: 3.833)
  40. Jie Feng*, Licheng Jiao, Xiangrong Zhang, Ruican Niu. An effective bag-of-visual-words framework for SAR image classification [C]. The seventh SPIE International Symposium on Multispectral Image Processing and Pattern Recognition, MIPPR, 2011. (EI: 20115214642404)
  41. Xiangrong Zhang, Zhengli Wei, Jie Feng, Licheng Jiao. Sparse representation based spectral clustering for SAR image segmentation [C]. The seventh SPIE International Symposium on Multispectral Image Processing and Pattern Recognition, MIPPR, 2011. (EI: 20115214642406)
  42. Ruican Niu, Licheng Jiao, Guiting Wang, Jie Feng. SAR image chang detection using watershed and spectral clustering [C]. The seventh SPIE International Symposium on Multispectral Image Processing and Pattern Recognition, MIPPR, 2011. (EI: 20115214642411)
  43. Dongdong Yang, Licheng Jiao, Maoguo Gong, Jie Feng. Adaptive ranks clone and k-nearest neighbor list-based immune multi-objective optimization [J]. Computational Intelligence. 2010, 26(4): 359-385.(中科院四区:000283948100001,影响因子: 1.196)
国家发明专利
  1. 冯婕、焦李成、屈嵘、刘帅、王爽等,基于低阶互信息和光谱上下文波段选择的高光谱分类方法、国家发明专利,ZL201510233088.6.

  1. 冯婕、焦李成、刘立国、吴建设、熊涛等,基于近邻传播聚类和稀疏多核学习的高光谱图像分类方法,国家发明专利,ZL201610218082.6.

  2. 冯婕、刘立国、焦李成、王蓉芳、张向荣等,基于栈式边界辨别自编码器的高光谱图像分类方法,国家发明专利,201710240257.8.

  3. 冯婕、王琳、刘立国、焦李成、张向荣等,基于熵率超像素分割的自编码器的高光谱图像分类方法,国家发明专利,201710827902.6.

  1. 冯婕、冯雪亮、陈建通、焦李成、张向荣等,协作生成对抗网络和空谱联合的高光谱图像分类方法,国家发明专利,201810977887.8.

  1. 冯婕、陈建通、冯雪亮、焦李成、张向荣等,基于可分离卷积和硬阈值函数的高光谱波段选择方法,国家发明专利,201810943367.5.

  2. 冯婕、于海鹏、焦李成、张向荣、王蓉芳等,基于多类生成对抗网络的高光谱图像分类方法,国家发明专利,201810548520.4.

  3. 冯婕、曾德宁、焦李成,张向荣,曹向海等,基于边界约束CenterNet的遥感目标检测方法,国家发明专利,201919312101.7

  4. 冯婕、吴贤德、李迪、焦李成、张向荣等,基于联合多级空谱信息CNN的高光谱图像分类方法,国家发明专利201910300993.7

  5. 冯婕、李迪、吴贤德、焦李成、张向荣、王蓉芳等,基于三元权值卷积神经网络的高光谱图像波段选择方法,国家发明专利,201910369127.3

学术专著

焦李成,冯婕,刘芳,杨淑媛,张向荣,高分辨遥感影像学习与感知,40万字,科学出版社,20173月。

张向荣,冯婕,刘芳,焦李成,模式识别,30万字,西安电子科技大学出版社,20199月。